cirpublications.com-ouSR-1792258240-a120078888 1792258240 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Artificial Intelligence for Healthcare Systems J. Artif. Intell. Healthc. Syst. 3149-8981 2026 5 1 Sven Larsson Erik Johansson Anna Nilsson 2026 10.68159/a120078888 https://cirpublications.com/pub/journal/1/article/a120078888 Subbaswamy A, Saria S. From development to deployment: dataset shift, causality, and shift-stable models in health AI. Biostatistics. 2020;21(2):345-52. Subbaswamy A, Chen B, Saria S. A unifying causal framework for analyzing dataset shift-stable learning algorithms. J Causal Inference. 2022;10(1):64-89. 10.1515/jci-2021-0025 Cui H, Lu J, Xu R, Wang S, Ma W, Yu Y, et al. A review on knowledge graphs for healthcare: Resources, applications, and promises. J Biomed Inform. 2025;159:104861. 10.1016/j.jbi.2025.104861 Smit JM, Breteler MJM, van Straten AHM, van der Laan MJ, Sterne JAC, Blauw GJ, et al. Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice. NPJ Digit Med. 2023;6(1):212. 10.1038/s41746-023-00961-1 Richens JG, Lee CM, Johri S. Improving the accuracy of medical diagnosis with causal machine learning. Nat Commun. 2020;11(1):3923. 10.1038/s41467-020-17419-7 Castro DC, Walker I, Glocker B. Causality matters in medical imaging. Nat Commun. 2020;11(1):2593. 10.1038/s41467-020-17478-w Nakayama T, Kawamata T, Takano Y, Takano S. Data collaboration for causal inference from limited medical testing and medication data. Sci Rep. 2025;15(1):6300. 10.1038/s41598-025-93509-0 Sun J, Li R, Utsumi Y, Chakraborty P, Sow DM, Madan P, et al. Dynamic decision making simulation with limited data via causal inference. Sci Rep. 2025;15(1):28623. 10.1038/s41598-025-28623-0 Yang Y, Srivastav S, Osegueda E, Brigham KL, Panoskaltsis-Mortari A, Ingbar DH, et al. The limits of fair medical imaging AI in real-world generalization. Nat Med. 2024;30(6):1699-708. 10.1038/s41591-024-03113-4 Moor M, Banerjee O, Abad ZSH, Krumholz HM, Leskovec J, Topol EJ, et al. Foundation models for generalist medical artificial intelligence. Nature. 2023;616(7956):259-70. 10.1038/s41586-023-05881-4 Teodoro D, Kaminski P, Kadali S, Brophy R, Nogueira M, van Vliet E, et al. A scoping review of artificial intelligence applications in clinical trial risk assessment. NPJ Digit Med. 2025;8(1):188. 10.1038/s41746-025-01886-7 Papanastasiou G, Howard JP, Ahmad Y, Shun-Shin MJ, Cook CM, Nowbar AN, et al. Large scale causal modeling to identify antecedent clinical phenotypes in common and variable immunodeficiencies. NPJ Digit Med. 2025;8(1):522. 10.1038/s41746-025-01761-5 Renc P, Karargyris A, Ura B, Barbieri G, About J, Yu X, et al. Zero shot health trajectory prediction using transformer. NPJ Digit Med. 2024;7(1):72. 10.1038/s41746-024-01235-0 Shen X, Ma H, Liu R, Li H, He A, Xia T, et al. A novel method for causal structure discovery from EHR data and its application to type-2 diabetes mellitus. Sci Rep. 2021;11(1):21025. 10.1038/s41598-021-99990-7 Tay E, Wijaya G, Liow CH, Cooper J, Hopkins S, Frampton C, et al. Applying causal inference and Bayesian statistics to understanding vaccine safety signals using a simulation study. NPJ Vaccines. 2024;9(1):155. 10.1038/s41541-024-00955-4 Feng J, Phillips RV, Malenica I, Bishara A, Hubbard AE, Celi LA, et al. Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. NPJ Digit Med. 2022;5(1):66. 10.1038/s41746-022-00611-y Abbasian M, Khatibi E, Azimi I, Onnela JP, Atun R, Kwon DS. Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. NPJ Digit Med. 2024;7(1):82. 10.1038/s41746-024-01074-z Nambo R, Aoki S, Mimura M. Prediction and causal inference of cardiovascular and cerebrovascular diseases based on lifestyle questionnaires. Sci Rep. 2024;14(1):61047. 10.1038/s41598-024-61047-w Shmatko A, Gerstung M, Bzdok D, Bultmann S, Möller LH, Föll T, et al. Learning the natural history of human disease with generative transformers. Nature. 2025;625(7994):372-8. 10.1038/s41586-025-09529-3 Mesinovic M, Zolnoori M, Topaz M, Peltonen LM, Lai AM, Salanterä S, et al. Explainability in the age of large language models for healthcare. Commun Eng. 2025;4(1):453. 10.1038/s44172-025-00453-y Yu X, Li J, Chen Y, Liu X, Wang Z, Zhang L. Investigating causal networks of dementia using causal discovery and natural language processing models. NPJ Precis Oncol. 2025;9(1):6. 10.1038/s44400-025-00006-2 Lennerz JK, Salgado R, Garrido P, Deshpande V, Schirmacher P, Lefkowitz R, et al. A unifying force for the realization of medical AI. NPJ Digit Med. 2022;5(1):17. 10.1038/s41746-022-00721-7 Lagemann K, Schommer JC, Follmann M, Menzel S. Deep learning of causal structures in high dimensions under data limitations. Nat Mach Intell. 2023;5(11):1244-54. 10.1038/s42256-023-00744-z Sun J, Chen Y, Li X, Zhang J, Wang H, Li Y. Practical AI application in psychiatry: historical review and future directions. Mol Psychiatry. 2025;30(2):3072-83. 10.1038/s41380-025-03072-3 Hasanzadeh F, Ghaderi F, Rahmani S, Khodabakhshi MB, Keshtkar A. Bias recognition and mitigation strategies in artificial intelligence healthcare applications. NPJ Digit Med. 2025;8(1):177. 10.1038/s41746-025-01503-7 Lee JO, Kim S, Lee J, Park S, Kim H, Choi J. Multimodal generative AI for interpreting 3D medical images and videos. NPJ Digit Med. 2025;8(1):649. 10.1038/s41746-025-01649-4 Li YL, Chen H, Wang S, Li M. The impact of positive attitude towards artificial intelligence and multiple mediation functions of satisfying basic psychological needs. Sci Rep. 2025;15(1):28529. 10.1038/s41598-025-28529-x Chen H, Gomez-Ramirez J, Obuobi-Donkor G, Porta-Sánchez A, Malik M, Georgiev G, et al. Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review. NPJ Digit Med. 2022;5(1):69. 10.1038/s41746-022-00699-2 Han Y, Hu Y, Zhang L, Li J. Interpretable AI-driven causal inference to uncover the time-varying effects of PM 2.5 and public health interventions on COVID-19 infection rates. Humanit Soc Sci Commun. 2024;11(1):4202. 10.1057/s41599-024-04202-y